cloud engineer for an internal AI platform

Quantori is an international team building an internal AI platform for a large pharmaceutical company. The platform enables the client's teams to deploy and run AI agents in a secure, standardized environment.

• Design and run AWS infrastructure across DEV, QA, and Production environments, managing it with Terraform;
• Build and maintain CI/CD pipelines and a standardized deployment process for AI agent teams;
• Keep the platform reliable in production through scaling, backups, secrets management, monitoring, and alerting;
• Implement security best practices, including network isolation, encryption, least-privilege access, and SSO integration;
• Containerize and deploy Python-based AI agents and backend services, and troubleshoot them with the development team;
• Develop Python-based automation and internal tooling for infrastructure management and deployment workflows.

• 5+ Years of experience in DevOps/Cloud Engineering, including ownership of production environments;
• Strong hands-on experience with AWS and Terraform;
• Experience with Kubernetes, preferably EKS, Docker, and Helm;
• Experience with CI/CD tools such as GitHub Actions, GitLab CI, or similar;
• Strong Python skills for writing automation and tooling, and reading, debugging, and supporting backend services;
• Experience integrating applications with identity providers via SSO (OIDC/SAML), such as Okta or Microsoft Entra ID;
• Understanding of AI agent architecture and its components, including LLM APIs, vector databases, and agent frameworks, from an infrastructure perspective;
• Ability to work independently and communicate directly with client stakeholders;
• Nice to have: familiarity with AI platforms and tools such as AWS Bedrock, LangChain/LangGraph, vector databases such as ChromaDB, and Langfuse; experience with FastAPI; experience in pharma, life sciences, or other regulated industries; AWS certifications.

• Competitive compensation;
• Flexible working hours;
• Continuous education, mentoring, and professional development programs;
• A team with excellent tech expertise.